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CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 4 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
CVPR
2009
IEEE
16 years 2 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
CPAIOR
2009
Springer
15 years 11 months ago
Optimal Interdiction of Unreactive Markovian Evaders
The interdiction problem arises in a variety of areas including military logistics, infectious disease control, and counter-terrorism. In the typical formulation of network interdi...
Alexander Gutfraind, Aric A. Hagberg, Feng Pan
RTSS
2005
IEEE
15 years 10 months ago
Optimal Task Rate Selection in Fixed Priority Systems
The design phase of any real-time system requires balancing the limited computational resources against the functional requirements and the performance of the application. The opt...
Enrico Bini, Marco Di Natale
ISCC
2007
IEEE
130views Communications» more  ISCC 2007»
15 years 10 months ago
Pre-Authentication Based Enhancement for Access Control in Hybrid MANETs
We analyze the problem of reducing packet losses due to the authentication time which is required when an ad hoc node switches across different gateways in a mobile ad hoc network...
Rafael Marín López, Pedro M. Ruiz, F...